Spruce budworm (SBW) is the most destructive forest pest in eastern forests of North America. Mapping annual current-year SBW defoliation challenging because large landscape scale infestations, high temporal/spatial variability, and short period time when detection possible. We used Landsat-5 Landsat-MSS data to develop a method detect map defoliation, which can be as ancillary or alternative information for aerial sketch maps (ASMs). Results indicated that were capable detecting classifying...

This research compares the capabilities of various Sentinel-2-derived spectral vegetation indices (SVIs) in particular red-edge SVIs to detect and classify spruce budworm (Choristoneura fumiferana) (SBW) defoliation using Support Vector Machine (SVM) Random Forest (RF) models. The results showed superiority RF model building for detection classification into three classes (nil, light, moderate) with overall errors 17% 32%, respectively. most important variables best were Enhanced Vegetation...

A fine-resolution region-wide map of forest site productivity is an essential need for effective large-scale forestry planning and management. In this study, we incorporated Sentinel-2 satellite data into increment-based measure (biomass growth index (BGI)) derived from climate, lithology, soils, topographic metrics to improved BGI (iBGI) in parts North American Acadian regions. Initially, several variables including nine single spectral bands 12 vegetation indices (SVIs) were used...

This paper illustrates the possibility of measuring chlorophyll (Chl) content and Chl fluorescence parameters by solar-induced (SIF) method using Fraunhofer line depth (FLD) principle, compares results with standard measurement methods. A high-spectral resolution HR2000+ an ordinary USB4000 spectrometer were used to measure leaf reflectance under solar artificial light, respectively, estimate fluorescence. Using leaves Capsicum annuum cv. ‘Sven’ (paprika), relationships between steady-state...

This study combined Sentinel-1 synthetic aperture radar (SAR), Sentinel-2 multispectral, and site variable datasets to model leaf area index (LAI) basal per ha (BAPH) of two economically important tree species in Northeast, USA; red spruce (Picea rubens Sarg.; RS), balsam fir (Abies balsamea (L.) Mill.; BF). We used Random Forest (RF), Multi-Layer Perceptron (MLP) algorithms for LAI BAPH modeling. The results showed that RF outperformed MLP by reducing the normalized root mean square error...

In order to evaluate how vegetation indices are affected by climatic patterns and assess the relationships between them in semi-arid ecosystems of Iran, a six year (2000-2005) time series Moderate Resolution Image Spectrometer (MODIS) data over month growing season was used for retrieving Normalized Difference Vegetation Index (NDVI) two Infrared Indices (NDII6 NDII7 using band 6 7 MODIS data, respectively) as Water (VWI). The study carried out dry farming rangeland areas located...

A few severe drought events occurred in the Northeast (NE) USA recent decades and caused significant economic losses, but temporal pattern of incidents their impacts on agricultural systems have not been well assessed. Here, we analyzed historical changes patterns using a index (standardized precipitation-evapotranspiration (SPEI)), assessed remotely sensed vegetation indices (enhanced (EVI) normalized difference (NDVI)) production (yield) wild blueberry fields Maine, USA. We also impact...

Supplier characteristics influence destination resilience to climate change, but there is limited research applying social theories this group. Using socio-ecological and psychology theories, we examined how a group of rural, nature-based tourism suppliers enhanced their change. We conducted 17 interviews in the Bay Machias, Maine, USA examine influenced Despite facing socio-economic challenges, were taking action adapt most pressing change threat, flooding, by leveraging knowledge, skill...

The Tanzawa Mountains, which cover parts of Kanagawa, Yamanashi and Shizuoka prefectures in Japan, are known for their natural beech forests. Since the 1980s, decline forests, probably caused by air pollution, water stress insect infestation, has become a serious problem. We estimated forest mortality rate mountains using multi-temporal 8-day composite data recorded at MODIS instrument aboard Terra satellite, daily temperature meteorological stations (AMeDAS) 2007, global digital elevation...

Forest stakeholders are a highly heterogeneous group with varied perceptions that important to consider when engaging in dialog increase climate change adaptation. We conducted an online survey of two forestry groups Maine, U.S., classified as (1) forest professionals, and (2) small woodlot owners. compared their risk perceptions, socio-cultural influences, information sources, self-efficacy, barriers incentives adaptation, management strategies. Small owners have much less knowledge...

Students develop personal connections to local places and build critical thinking skills as they engage in meaningful problem-solving rooted place. At the same time, when students work within communities, can contribute increased community technical capacity well-being. In this case study, we sought explore student perceptions of a place-based activity integrated college-level GIS course Maine, USA. We partnered with conservation organization activities address our partner's geospatial...

Canopy foliar traits serve as crucial indicators of plant health and productivity, forming a vital link between conditions ecosystem dynamics. In this study, the use hyperspectral data for white pine needle damage (WPND) detection was investigated first time. Eastern White Pine (